Story [IP] falls 10% in 24 hours – But this dip might be temporary

ambcryptoОпубліковано о 2025-09-24Востаннє оновлено о 2025-09-25

Key Takeaways

Why could IP’s drop be temporary?

Strong retail participation and buyer dominance in Futures suggest the decline may be a short-term correction, not a new downtrend.

What levels are critical for reversal?

Holding above the $11.37 market gap is key; failure to do so could trigger further downside before a potential recovery.


Story [IP] prices have dropped by nearly 10% over the last 24 hours, reflecting a building bearish momentum on its price after recent gains.

The move has left the token community with mixed reactions on whether the drop was just a price correction or a start on a new trend.

Narrowing down to the daily chart, the drop left the token prices testing a market gap at around $11.37. This insinuated that the drop was just a short-term correction.

As seen on the charts, IP appeared to have bounced-off strongly, indicating that a reversal could have just started, with the next target level being $15 resistance.

Source: TradingView

On-chain metrics lean bullish

Despite the technical pullback, on-chain activity also sparked bullish signals.

CryptoQuant’s Spot Retail Activity Data showed heightened retail participation in IP’s spot market, with traders steadily increasing their activity over the past day.

This influx of retail demand could help stabilize price action, especially if broader market sentiment remains supportive.

Source: CryptoQuant

But, in most cases, it is the whales who determine the market direction. However, the Spot Volume Bubble Map indicated heating at press time.

The retail traders could be equal to the task by provide the required momentum for a potential reversal.

Source: CryptoQuant

The Futures market added another layer of interest. The Futures Taker CVD (Cumulative Volume Delta, 90-day) data highlighted a noticeable increase in buyer dominance at the time of writing.

The buyer dominant stood at $11.87, suggesting that traders were favoring long positions despite the dip in Spot prices. 

Source: CryptoQuant

What could be in store for IP?

If retail traders continue to fuel spot demand and buyers maintain their edge in the Futures market, the token could finally find support, with the current gap sparking some green signals for a potential reversal zone.

However, the chances of a bearish continuation cannot be completely ignored. If the support zone developing at the current market gap fail to materialize, the token prices could dip further.

But as it stands, the balance of signals from all the metrics suggests cautious optimism. The underlying demand from retail traders and Futures buyers hints at potential price reversal.

Share

Пов'язані матеріали

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbit3 год тому

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbit3 год тому

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbit4 год тому

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbit4 год тому

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbit4 год тому

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbit4 год тому

Торгівля

Спот
活动图片